Automated shear-wave splitting analysis for single- and multi-layer anisotropic media
Shear-wave velocity anisotropy is present throughout the earth. The strength and orientation of anisotropy can be observed by shear-wave splitting (birefringence) accumulated between earthquake sources and receivers. Seismic deployments are getting ever larger, increasing the number of earthquakes d...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Seismica
2023
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| _version_ | 1797111500764086272 |
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| author | Hudson, T Asplet, J Walker, A |
| author_facet | Hudson, T Asplet, J Walker, A |
| author_sort | Hudson, T |
| collection | OXFORD |
| description | Shear-wave velocity anisotropy is present throughout the earth. The strength and orientation of anisotropy can be observed by shear-wave splitting (birefringence) accumulated between earthquake sources and receivers. Seismic deployments are getting ever larger, increasing the number of earthquakes detected and the number of source-receiver pairs. Here, we present a new Python software package, SWSPy, that fully automates shear-wave splitting analysis, useful for large datasets. The software is written in Python, so it can be easily integrated into existing workflows. Furthermore, seismic anisotropy studies typically make a single-layer approximation, but in this work we describe a new method for measuring anisotropy for multi-layered media, which is also implemented. We demonstrate the performance of SWSPy for a range of geological settings, from glaciers to Earth's mantle. We show how the package facilitates interpretation of an extensive dataset at a volcano, and how the new multi-layer method performs on synthetic and real-world data. The automated nature of SWSPy and the discrimination of multi-layer anisotropy will improve the quantification of seismic anisotropy, especially for tomographic applications. The method is also relevant for removing anisotropic effects, important for applications including full-waveform inversion and moment magnitude analysis. |
| first_indexed | 2024-03-07T08:11:17Z |
| format | Journal article |
| id | oxford-uuid:8d635bd7-d759-4d00-8e8a-f8dff2a82062 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T08:11:17Z |
| publishDate | 2023 |
| publisher | Seismica |
| record_format | dspace |
| spelling | oxford-uuid:8d635bd7-d759-4d00-8e8a-f8dff2a820622023-11-23T16:30:14ZAutomated shear-wave splitting analysis for single- and multi-layer anisotropic mediaJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8d635bd7-d759-4d00-8e8a-f8dff2a82062EnglishSymplectic ElementsSeismica2023Hudson, TAsplet, JWalker, AShear-wave velocity anisotropy is present throughout the earth. The strength and orientation of anisotropy can be observed by shear-wave splitting (birefringence) accumulated between earthquake sources and receivers. Seismic deployments are getting ever larger, increasing the number of earthquakes detected and the number of source-receiver pairs. Here, we present a new Python software package, SWSPy, that fully automates shear-wave splitting analysis, useful for large datasets. The software is written in Python, so it can be easily integrated into existing workflows. Furthermore, seismic anisotropy studies typically make a single-layer approximation, but in this work we describe a new method for measuring anisotropy for multi-layered media, which is also implemented. We demonstrate the performance of SWSPy for a range of geological settings, from glaciers to Earth's mantle. We show how the package facilitates interpretation of an extensive dataset at a volcano, and how the new multi-layer method performs on synthetic and real-world data. The automated nature of SWSPy and the discrimination of multi-layer anisotropy will improve the quantification of seismic anisotropy, especially for tomographic applications. The method is also relevant for removing anisotropic effects, important for applications including full-waveform inversion and moment magnitude analysis. |
| spellingShingle | Hudson, T Asplet, J Walker, A Automated shear-wave splitting analysis for single- and multi-layer anisotropic media |
| title | Automated shear-wave splitting analysis for single- and multi-layer anisotropic media |
| title_full | Automated shear-wave splitting analysis for single- and multi-layer anisotropic media |
| title_fullStr | Automated shear-wave splitting analysis for single- and multi-layer anisotropic media |
| title_full_unstemmed | Automated shear-wave splitting analysis for single- and multi-layer anisotropic media |
| title_short | Automated shear-wave splitting analysis for single- and multi-layer anisotropic media |
| title_sort | automated shear wave splitting analysis for single and multi layer anisotropic media |
| work_keys_str_mv | AT hudsont automatedshearwavesplittinganalysisforsingleandmultilayeranisotropicmedia AT aspletj automatedshearwavesplittinganalysisforsingleandmultilayeranisotropicmedia AT walkera automatedshearwavesplittinganalysisforsingleandmultilayeranisotropicmedia |